December 2020
ONLINE COURSE – Introduction to Scientific, Numerical, and Data Analysis Programming in Python (PYSC01) This course will be delivered live
Course Overview: Python is one of the most widely used and highly valued programming languages in the world, and is especially widely used in data science, machine learning, and in other scientific computing applications. In order to use Python confidently and competently for these applications, it is necessary to have a solid foundation in the fundamentals of scientific, numerical, and data analysis programming Python. This two day course provides a general introduction to numerical programming in Python, particularly using numpy,…
Find out more »ONLINE COURSE – Machine Learning and Deep Learning using Python (PYML01) This course will be delivered live
Course Overview: Python is one of the most widely used and highly valued programming languages in the world, and is especially widely used in machine learning and for deep learning. In this two day course, we provide an introduction to machine learning and deep learning using Python. We begin by providing an overview of the machine learning and deep learning landscape, and discuss the prominent role that Python has come to play in this area. We then turn to machine…
Find out more »March 2021
ONLINE COURSE – Landscape genetic data analysis using R (LNDG04) This course will be delivered live
Course Overview: The term ‘landscape genetics’ has been applied studies that integrate ecological context and intervening landscape into population genetic analyses of contemporary processes such as gene flow and migration. This course will cover the basics of both quantitative landscape ecology and population genetics, focusing on how we develop and evaluate spatial/genetic analyses using the R platform. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link,…
Find out more »July 2021
ONLINE COURSE – Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01) This course will be delivered live
Course Overview: The aim of this course is to provide a thorough introduction to computational approaches for the analysis of multi-omics data from microbial communities with a focus on metagenomic and metatranscriptomic data. We will start from raw sequencing files, introduce different bioinformatic approaches to process sequencing data, followed by multivariate statistical analysis and different visualization techniques. The course will consist of a mixture of lectures and hands-on tutorials. On the last day, participants have the opportunity to bring and…
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